A Stream Processing Framework for On-Line Optimization of Performance and Energy Efficiency on Heterogeneous Systems

2014 ◽  
Author(s):  
Benjamin Ranft ◽  
Oliver Denninger ◽  
Philip Pfaffe
Keyword(s):  
Energy Efficiency ◽  
Stream Processing ◽  
Heterogeneous Systems ◽  
On Line ◽  
Processing Framework

scholarly journals Energy Efficiency Through an On-Line Learning Approach for Forecasting of Indoor Temperature

2014 ◽  
Author(s):  
Francisco Zamora Martínez ◽  
Pablo Romeu Guallart ◽  
Paloma Botella Rocamora ◽  
Juan Pardo Albiach
Keyword(s):  
Energy Efficiency ◽  
Learning Approach ◽  
Indoor Temperature ◽  
On Line ◽  
On Line Learning

scholarly journals A Systematic Study for Big Data Stream Processing Frameworks

2016 ◽  
Vol 2 (2) ◽  
pp. 4
Author(s):  
Ali Yazici ◽  
Ziya Karakaya ◽  
Mohammed Alayyoub
Keyword(s):  
Big Data ◽  
Systematic Study ◽  
Data Stream ◽  
Stream Processing ◽  
Systematic Mapping ◽  
Related Research ◽  
Research Outcomes ◽  
Research Questions ◽  
State Of Art ◽  
Processing Framework

The choice of the most effective stream processing framework (SPF) for Big Data has been an important issue among the researchers and practioners. Each of the SPFs has different cutting edge technologies in their steps of processing the data in motion that gives them a better advantage over the others. Even though, these technologies used in each SPF might better them, it is still difficult to conclude which framework berforms better under different scenarios and conditions. In this paper, we aim to show trends and differences about several SPFs for Big Data by using the so called Systematic Mapping (SM) approach using the related research outcomes. To achieve this objective, nine research questions (RQs) were raised, in which 91 studies that were conducted between 2010 and 2015 were evaluated. We present the trends by classifying the research on SPFs with respect to the proposed RQs which can direct researchers in getting an state-of-art overview of the field.

scholarly journals PLC Based Multi Starter Control using Single Control System for Induction Motor

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2515-2521
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Control Systems ◽  
Induction Motor ◽  
Energy Efficient ◽  
Low Cost ◽  
On Line

Most customarily used motor in the industries are induction motor due to its low cost, robustness and less maintenance. The change in the existing framework is necessary in order to make the motor more efficient one. This paper cast enlightenment about the PLC based 3 phase multi-starter control induction motor with energy efficient single control system. In order to start the engine's operation by its own power, starters are used. Various starters are available to initiate the 3-phase induction motor namely Direct On-line, Star-delta, autotransformer and rotor impedance. The employment of this PLC based techniques helps to increase the energy efficiency of the motor .The employability of PLC in this system is to help in the growth of automation. The hardware and software results of the multi starter control using single control systems are analysed

On-Line Model Predictive Control for Energy Efficiency in Data Center

2021 ◽  
Vol 38 (12) ◽  
pp. 943-951
Author(s):  
Min Sik Chu ◽  
Hyun Ah Kim ◽  
Kyu Jong Lee ◽  
Ji Hoon Kang
Keyword(s):  
Energy Efficiency ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Data Center ◽  
Line Model ◽  
On Line

China State Grid Information Data Platform Construction for Energy Efficiency Services

2013 ◽  
Vol 827 ◽  
pp. 407-411
Author(s):  
Gui Xiong He ◽  
Ming Zhong ◽  
Hua Guang Yan ◽  
Li Min Jiang
Keyword(s):  
Energy Efficiency ◽  
Data Storage ◽  
Data Extraction ◽  
The State ◽  
Public Network ◽  
Data Platform ◽  
Private And Public ◽  
Energy Service ◽  
On Line ◽  
Global Carbon

In the global carbon emission reduction and energy saving environment, the State Grid Corporation is actively establishing energy service system, building a national grid of energy efficiency services data platform. The data through three ways, such as submitted, the existing data extraction and on-line monitoring, are captured for largest energy users, and then uploaded to the company's headquarter data platform through a variety of communication means of the State Grid Corporation private and public network. Headquarter platform take energy efficiency modeling and data analysis with mass data storage, data mining, OLAP, and other technologies.

Practical Application of ICT Solutions for Energy and Water Savings at Condominium Level

2013 ◽  
Vol 448-453 ◽  
pp. 1202-1206
Author(s):  
Jesica Fernández-Agüera ◽  
Samuel Domínguez ◽  
Miguel Angel Campano
Keyword(s):  
Energy Efficiency ◽  
Social Housing ◽  
Main Tool ◽  
Building Energy ◽  
Active Part ◽  
Practical Application ◽  
Water Savings ◽  
The Social ◽  
On Line ◽  
Building Level

EnergyTIC project has made available easy ICT ́s solutions for domestic end users in order to involve the social housing residents as an active part of water and energy efficiency. In this paper we analyze a proposal for a methodology designed to apply these single home ICT technologies in the whole-building energy layer. Our approach treat to take advantage of the the system currently in operation at single-dwelling level in order to involve users in the same building as clusters of the energy and water savings at building level. An on-line continuous benchmarking process between buildings in the same area will be used as the main tool of our procedure.

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